Ra-Mi Park

741 citations
12 papers · 583 · h-index 11

Impact in

Papers in

Ra-Mi Park

12 papers receiving 541 citations

Peers

Ra-Mi Park
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 104
  • Pulmonary and Respiratory Medicine 302
  • Physiology 137
  • Sensory Systems 23
  • Cellular and Molecular Neuroscience 63
Replace M. Souhrada with:
M. Souhrada United States
Brent E. McParland Australia
Lid B. Wong United States
Peter W. Stengel United States
Erin N. Worthington United States
Tibor Z. Veres Germany
Giorgio Fois Germany
Pika Miklavc Germany
Maciej Łazarczyk Poland
Hideki Saito Japan
Ra-Mi Park relative to M. Souhrada United States M. Souhrada's profile →
Citations per field
00.5×1.5×2.3×
M. Souhrada · 1×
Citations per year

Countries citing papers authored by Ra-Mi Park

Since Specialization
Citations

This map shows the geographic impact of Ra-Mi Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ra-Mi Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ra-Mi Park more than expected).

Fields of papers citing papers by Ra-Mi Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ra-Mi Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ra-Mi Park. The network helps show where Ra-Mi Park may publish in the future.

Co-authors

The 15 scholars most cited alongside Ra-Mi Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ra-Mi Park Line = papers co-authored together Ra-Mi Park links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
The cells of the tracheobronchial epithelium of the mouse: a quantitative light and electron microscope study.
1981163
2 1980109
3 198274
4
The Clara cell.
198266
5 199436
6 198133
7
The aminergic innervation of the human bronchus: a light and electron microscopic study.
198431
8 198422
9 197522
10 198814
11 198210
12 20003

About Ra-Mi Park

Ra-Mi Park is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Physiology, Surgery and Molecular Biology, having authored 12 papers that have together received 583 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (6 papers), Neonatal Respiratory Health Research (5 papers), Tracheal and airway disorders (3 papers), Asthma and respiratory diseases (2 papers), Respiratory and Cough-Related Research (2 papers), Neurological diseases and metabolism (1 paper), Hereditary Neurological Disorders (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (104 citations), Pulmonary and Respiratory Medicine (302 citations), Physiology (137 citations), Sensory Systems (23 citations) and Cellular and Molecular Neuroscience (63 citations). Ra-Mi Park has collaborated with scholars based in United Kingdom, New Zealand and China. Frequent co-authors include Garrett M. Morris, J. G. Widdicombe, P S Richardson, Alan K. Howe, Roger Phipps, I P Williams, J. M. Pell, J. C. M. Wise, M.R. Alley and R. K. Lambert. Their work appears in journals such as Cell and Tissue Research, The Journal of Physiology, Clinical Science, Journal of Applied Physiology and CHEST Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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